AI-Driven Enterprise Data Seller

Windsor.ai

Argentina

Presencial

ARS 45.391.000 - 98.348.000

Jornada completa

Hace 5 días
Sé de los primeros/as/es en solicitar esta vacante
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Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

100% remote team
Uncapped accelerators

Descripción de la vacante

Windsor.ai is seeking an AI-native seller to close $10-60k ACV deals and consolidate multi-team, multi-region customers into single Enterprise agreements. You will show customers how to connect data to Claude, ChatGPT, Copilot, and their BI stack in minutes without code.

The role emphasizes hands-on use of LLMs for research, account planning, and personalized outreach, with a 100% remote team and uncapped accelerators.

Formación

  • Genuinely fluent with LLM tools (Claude, ChatGPT, Copilot).
  • SQL basics (SELECT, JOIN, GROUP BY) and ELT vs ETL concepts.
  • Hands-on with Snowflake, BigQuery, Redshift, or Databricks.
  • Familiarity with BI/AdTech tools (Power BI, Looker, GA4, Google/Meta Ads).
  • Excellent English; able to work within US Eastern time +/-2h.
  • Experience with MCP/AI agents and connectors to Claude or ChatGPT.
  • Power BI or Looker certifications.

Responsabilidades

  • Own the full sales cycle for $10-60k ACV deals (demo to close).
  • Consolidate fragmented self-serve customers into Enterprise agreements.
  • Demonstrate data integration into Claude, ChatGPT, Copilot, and BI stacks.
  • Leverage AI-native selling techniques across research, planning, and follow-up.

Conocimientos

LLM tools fluency
SQL basics
Data warehouses
BI/AdTech familiarity
English proficiency
MCP / AI agents experience
Certifications (Power BI/Looker)

Herramientas

Claude
ChatGPT
Copilot
Snowflake
BigQuery
Redshift
Databricks
Power BI
Looker

Descripción del empleo

Windsor.ai is seeking an AI-native seller to close $10-60k ACV deals and consolidate multi-team, multi-region customers into single Enterprise agreements. You will show customers how to connect data to Claude, ChatGPT, Copilot, and their BI stack in minutes without code.

The role emphasizes hands-on use of LLMs for research, account planning, and personalized outreach, with a 100% remote team and uncapped accelerators.

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